Moonshot / FIXIT

Dr. Schulman is a Professor of Medicine, and, by courtesy, Professor of Operations, Information and Technology at Stanford’s Graduate School of Business. He serves as Interim Division Co-Chief for the Division of Hospital Medicine at Stanford, and as an Associate Chair of the Department of Medicine. He is the Faculty Director of Stanford’s new applied master degree program, the Master of Science in Clinical Informatics Management program. He also serves as Deputy Director of the Clinical Excellence Research Center (CERC) at the Stanford University School of Medicine, and has an appointment in the Department of Health Policy (by courtesy). 
 
Dr. Schulman is a health economist/health services researcher working at the intersection of business, medicine and technology. With over 500 publications, he has had a broad impact on several areas of health policy (Scopus h-index=81). His research has appeared in the New England Journal of Medicine, the Journal of the American Medical Association, and Health Affairs. He is the editor-in-chief of Health Management, Policy and Innovation (www.HMPI.Org), and Senior Associate Editor of Health Service Research (HSR). 
 
He is a graduate of Dartmouth College, the New York University School of Medicine, and The Wharton Health Care Management Program. He is an elected member of ASCI and AAP.

Jonathan H. Chen leads a research group to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to deliver better care than either alone. Dr. Chen continues to practice medicine for the concrete rewards of caring for real people and to inspire this research focused on discovering and distributing the latent knowledge embedded in clinical data. 
 
Before his medical training, Chen co-founded a company to translate his Computer Science graduate work into an expert system for organic chemistry, with applications from drug discovery to an education tool for students around the world. His expertise is regularly featured in popular press outlets with over 100 publications in leading clinical and informatics venues and awards from the NIH, National Library of Medicine, American Medical Informatics Association, International Brotherhood of Magicians and more. 
 
In the face of ever escalating complexity in medicine, informatics solutions are the only credible approach to systematically address challenges in healthcare. Tapping into real-world clinical data like electronic medical records with machine learning and data analytics will reveal the community's latent knowledge in a reproducible form. By delivering this back to clinicians, patients, and healthcare systems as clinical decision support, he aims to uniquely close the loop on a continuously learning health system.

April S. Liang, M.D., is a Board-Certified internist and Clinical Informaticist. She serves as Clinical Assistant Professor in the Stanford Division of Hospital Medicine as well as Medical Informatics Director. Dr. Liang holds a B.S.E. in Computer Science from Princeton University and an M.D. from UCSF School of Medicine. She completed Internal Medicine residency at UCSF and Clinical Informatics fellowship at Stanford. Dr. Liang’s informatics interests include the implementation of AI tools in healthcare and data-driven quality improvement. Her past work includes integrating a machine learning-driven clinical decision support tool in the EHR targeting lab overutilization and measuring the impact of ambient AI scribes on clinician documentation time.

Dr. Natasha Steele, MD, MPH, is an Assistant Professor of Medicine in the Division of Hospital Medicine at Stanford University School of Medicine. Her work sits at the intersection of health system operations and clinical informatics, focused on leveraging existing and emerging technologies to optimize clinician workflows, strengthen the patient experience, and drive durable, health system–wide change.

As Moonshot co-lead, under the mentorship of Kevin Schulman and Jonathan Chen she partners with clinical and operational leaders to translate frontline needs into scalable solutions with an emphasis on interventions that have meaningful impact for healthcare providers, patients, and health systems alike.

Dr. Black completed his Internal Medicine residency at Oregon Health & Science University. His clinical interests include hospital medicine and geriatric medicine. Dr. Black's research interests include the safe deployment of agentic artificial intelligence in real-world healthcare systems, mitigation of bias in CDS tools, and data-driven quality improvement.

Jason is currently pursuing his MD and MCiM degrees at Stanford University. Passionate about advancing health equity and optimizing care delivery through systems innovation and quality improvement, he is interested in developing novel care models for vulnerable patients.

Jason graduated magna cum laude from Harvard College with a concentration in Neuroscience and a secondary in Philosophy, where he also served as a two-time captain of the Men’s Volleyball team. Outside of medicine, he enjoys cycling, weightlifting, and exploring the San Francisco food scene

Dr. Jane Wang is an ENT Surgical Co-Management Hospitalist at SHC. She completed medical school at the Johns Hopkins University School of Medicine and internal medicine residency at UCLA Ronald Reagan, with completion of the Resident Informatics Program. She has conducted extensive research on digital health interventions and health systems innovation, publishing in Nature Digital Medicine, Circulation, JAMIA, JMIR, and BMC Primary Care, among others. She currently serves as a Faculty Mentor for the BioDesign 273 course, has spoken as a guest panelist at the Stanford Graduate School of Business and Berkeley Haas School of Business, and serves as an MD Lead for the Stanford Care at Home program. She enjoys mentoring students and trainees from all disciplines on healthcare innovation.

Chuk is a UK-trained physician and product manager currently at Stanford as a Harkness Fellow in Health Care Policy & Practice. His work is focused on the implementation science of clinical AI, specifically on how to bridge the gap between powerful new models and the complex realities of clinical and patient care.

Stephen Ma, MD/PhD, is a Clinical Assistant Professor in Stanford’s Division of Hospital Medicine who cares for adult inpatient general medicine patients. Trained in clinical informatics, his work focuses on implementing and evaluating technologies such as ambient AI scribes, clinician-facing analytics, ML-enabled workflows to standardize care, and tools for care-team communication and scheduling. His background includes electrical engineering (Princeton), MD/PhD training (Columbia), and doctoral research developing patient-derived human cardiac disease models using stem cells, tissue engineering, optogenetics, and related technologies.